Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders

Abstract

A fall is an abnormal activity that occurs rarely, so it is hard to collect real data for falls. It is, therefore, difficult to use supervised learning methods to automatically detect falls. Another challenge in using machine learning methods to automatically detect falls is the choice of features. In this paper, we propose to use an ensemble of… (More)
DOI: 10.1016/j.eswa.2017.06.011

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